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Remote Machine Learning Architect Jobs in New York

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... Identify customer problems and opportunities; lead teams to research, architect, design, and ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... Identify customer problems and opportunities; lead teams to research, architect, design, and ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Understanding of software architecture and design patterns * Ability to work in an agile ...

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Remote Machine Learning Architect information

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.
What are popular job titles related to Remote Machine Learning Architect jobs in New York? For Remote Machine Learning Architect jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Architect jobs in New York look for? The top searched job categories for Remote Machine Learning Architect jobs in New York are:
What cities in New York are hiring for Remote Machine Learning Architect jobs? Cities in New York with the most Remote Machine Learning Architect job openings:
Remote Machine Learning Architect jobs near you

Senior Machine Learning Engineer

Orita

New York, NY • On-site, Remote

$180K - $250K/yr

Full-time

Posted 23 days ago

Job description

About Orita
Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more.
Orita's algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon ...). By messaging prospects and customers when they're actually listening, you're able to make a bunch of money.
In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth.
The Role
As a Senior Machine Learning Engineer at Orita, you will:
  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.
Ideal Background
Please apply even if you don't meet every requirement. We're looking for a versatile engineer who can learn quickly and own problems end-to-end.
  • Education & Experience
    • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • ML Expertise:
    • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
    • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
    • Feature engineering using aggregations, embeddings, and sub-models.
  • MLOps & Cloud:
    • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
    • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
    • Experience iterating models in a production environment is a must.
  • Software Engineering Skills
    • Strong proficiency in Python (numpy, pandas, etc.).
    • Experience with scalable data processing (Spark, Ray, BigQuery).
    • Job orchestration (Airflow)
  • Analytical & Statistical Background
    • Comfortable with advanced experimentation techniques.
    • Understanding of performance measurement in real-world deployments.
  • Soft Skills & Culture
    • Comfortable wearing many hats-data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle.
    • Excellent communication-able to explain complex ML concepts to non-technical stakeholders.
    • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.
Bonus Points
  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.
Why Orita?
  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning-everyone's voice matters.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

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